METHOD FOR PROVIDING MOTION RECOGNITION SERVICE AND ELECTRONIC DEVICE THEREOF

• US 20160275336A1
• Filed: 03/04/2016
• Published: 09/22/2016
• Est. Priority Date: 03/16/2015
• Status: Active Grant

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Samsung Electronics Co. Ltd.
• Inventors: RYU, Seungbeom, LEE, Wonnhee, PARK, Chan Soo, HONG, Hyunsu
• Granted Patent: US 9,852,331 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A63B 2220/00 Measuring of physical parameters relating to sporting activity
• CPC Class Codes: G06V 40/20 Movements or behaviour, e.g. gesture recognition recognition of facial expressions G06V40/16

Abstract

An apparatus and a method for providing a motion recognition service in an electronic device. The electronic device may include: a sensor module configured to detect one or more pieces of sensor data corresponding to the motion of the electronic device, at least one processor that is electrically connected with the sensor module, and a non-transitory memory that is electrically connected with the processor. The non-transitory memory stores instructions that when executed by the processor detect the one or more pieces of sensor data by using the sensor module. The processor identifies whether or not there is a motion pattern corresponding to the sensor data in the memory, and creates a motion pattern based on at least some of the sensor data according to whether or not the motion pattern corresponding to the one or more pieces of sensor data exists.

Claims

1. An electronic device comprising:

a sensor module configured to detect one or more pieces of sensor data corresponding to a motion of the electronic device;

at least one processor electrically connected with the sensor module; and

a memory communicatively coupled with the at least one processor, and stores instructions that, when executed configure the at least one processor to;

receive notification from the sensor module that the sensor data is detected;

identify whether or not there is a motion pattern corresponding to the detected one or more pieces of sensor data in the memory; and

create a motion pattern based on at least a portion of the detected one or more pieces of sensor data according to whether or not there is the motion pattern corresponding to the detected one or more pieces of sensor data.

2. The electronic device of claim 1, wherein the at least one processor is configured to extract at least one cycle of a pattern from the motion pattern contained in the detected one or more pieces of sensor data;

and creates the motion pattern based on one or more attributes that are contained in the at least one cycle of a pattern.

3. The electronic device of claim 2, wherein the attributes contained in the at least one cycle of a pattern include at least one of an average, dispersion, a cycle, a peak value of a waveform of the sensor data, and/or an absolute value, dispersion, distance, and an amount of change of a valley value, and/or distance.

4. The electronic device of claim 1, wherein the at least one processor is configured to identify whether or not the detected one or more pieces of sensor data contain a repeated pattern;

if the detected one or more pieces of sensor data contain the repeated pattern, extract at least one cycle of a pattern from the repeated pattern contained in the detected one or more pieces of sensor data; and

create the motion pattern based on one or more attributes that are contained in the at least one cycle of a pattern.

5. The electronic device of claim 1, wherein the at least one processor is configured to create a new motion pattern based on the detected one or more pieces of sensor data and one or more pieces of log data stored in the memory corresponding to the sensor data.

6. The electronic device of claim 1, wherein the at least one processor is configured to collect execution information on the motion pattern in response to identifying an existence of the motion pattern corresponding to the detected one or more pieces of sensor data.

7. An electronic device comprising:

a sensor module configured to detect one or more pieces of sensor data corresponding to a motion of the electronic device;

at least one processor electrically connected with the sensor module; and

a memory electrically connected with the at least one processor, and stores instructions that, when executed, configure the at least one processor to;

receive notification by the sensor module that the one or more pieces of sensor data sensor data are detected,

identify a motion pattern corresponding to the detected one or more pieces of sensor data, and

update the motion pattern based on at least a portion of the detected one or more pieces of sensor data.

8. The electronic device of claim 7, wherein the at least one processor is configured to compare waveforms of the detected one or more pieces of sensor data with one or more motion patterns that are stored in the memory;

and detect the motion pattern corresponding to the detected one or more pieces of sensor data based on a comparison result.

9. The electronic device of claim 7, wherein the at least one processor is configured to update a recognition range or a pattern structure of the motion pattern based on at least a portion of the detected one or more pieces of sensor data.

10. The electronic device of claim 7, wherein the at least one processor is configured to reduce a recognition range of the motion pattern in response to a recognition error for the motion pattern.

11. The electronic device of claim 7, wherein the at least one processor is configured to collect execution information on the motion pattern.

12. The electronic device of claim 7, wherein the at least one processor is configured to update the motion pattern based on the detected one or more pieces of sensor data and one or more pieces of log data stored in memory corresponding to the detected one or more pieces of sensor data.

13. An operating method of an electronic device, the method comprising:

detecting one or more pieces of motion data corresponding to a motion of the electronic device;

identifying whether or not there is a motion pattern corresponding to the detected one or more pieces of motion data in a memory of the electronic device; and

creating a motion pattern based on at least a portion of the detected one or more pieces of motion data according to whether or not there is the motion pattern corresponding to the one or more pieces of motion data.

14. The method of claim 13, wherein the creating of the motion pattern comprises:

extracting at least one cycle of a pattern from the pattern contained in the detected one or more pieces of motion data; and

creating the motion pattern based on one or more attributes that are contained in the at least one cycle of a pattern.

15. The method of claim 14, wherein the one or more attributes contained in the at least one cycle of a pattern includes at least one of an average, dispersion, a cycle, a peak value of a waveform of the motion data, and/or an absolute value, dispersion, distance, and an amount of change of a valley value, and/or distance.

16. The method of claim 13, wherein the creating of the motion pattern comprises:

identifying whether or not the detected one or more pieces of motion data contain a repeated pattern;

if the detected one or more pieces of motion data contain the repeated pattern, extracting at least one cycle of a pattern from the repeated pattern contained in the detected one or more pieces of motion data; and

creating the motion pattern based on one or more attributes that are contained in the at least one cycle of a pattern.

17. The method of claim 13, wherein the creating of the motion pattern comprises creating a new motion pattern based on one or more pieces of sensor data that is detected through a sensor module of the electronic device and one or more pieces of log data stored in the memory corresponding to the one or more pieces of sensor data.

18. The method of claim 13, further comprising collecting execution information on the motion pattern in response to identifying that the motion pattern corresponds to the one or more pieces of motion data.

19. The method of claim 13, further comprising:

identifying a motion pattern corresponding to the detected one or more pieces of motion data; and

updating the motion pattern based on at least a plurality of the detected one or more pieces of motion data.

20. The method of claim 13, further comprising:

identifying a motion pattern corresponding to the detected one or more pieces of motion data;

comparing the detected one or more pieces of motion data with the motion pattern; and

displaying information for changing the motion based on at least a portion of a comparison result.